Machine learning models for classification of B-cell lymphomas



GAMBLR.predict is an open-source portable R library.

This package includes a collection of models designed to classify lymphoma patients with Burkitt Lymphoma (BL), Follicular Lymphoma (FL), and Diffuse Large B-cell Lymphoma (DLBCL) into genetic subgroups based on various classification systems utilizing genomic features. In addition to serving as a comprehensive resource for easy access to these models, GAMBLR.predict also offers functions and an API to facilitate the preparation and formatting of incoming data in accordance with each model’s specifications.

GAMBLR stands for Genomic Analysis of Mature B-cell Lymphomas in R, and is part of the family of R packages for lymphoma cancer research developed in the Morin Lab at the Simon Fraser University.



Check out more projects:



GAMBLR.data LCR-modules GAMBLR.predict lymphgenerator MAFKleanup Follicular lymphoma classifier MIRAGE Burkitt lymphoma classifier GAMBLR.viz
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